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Technical Infrastructure Program Manager Jobs in Alameda, CA

Acess Global

Program Manager

San Jose, CA · On-site

Required Qualifications * 5+ years managing technical infrastructure or IT operations programs * Demonstrated experience with network/device discovery and CMDB tooling (ServiceNow Discovery ...

Apptronik

Staff Technical Program Manager

Sunnyvale, CA

$151K - $196K/yr

This is a high-autonomy, high-visibility role at the intersection of AI/ML infrastructure, robot ... program interface to external technical partners: managing joint roadmaps, resolving cross-org ...

Apptronik

Staff Technical Program Manager

Sunnyvale, CA · On-site

$151K - $196K/yr

Own end-to-end execution of ML infrastructure and operations programs - including data pipelines ... external technical partners: managing joint roadmaps, resolving cross-org dependencies, and ...

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Technical Infrastructure Program Manager information

See Alameda, CA salary details

$100.9K

$165.1K

$191K

How much do technical infrastructure program manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for technical infrastructure program manager in Alameda, CA is $165,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,200.00 and $189,300.00 per year, depending on experience, location, and employer.

What does a Technical Infrastructure Program Manager do?

A Technical Infrastructure Program Manager oversees projects related to a company's IT infrastructure, such as networks, servers, and data centers. They coordinate between technical teams, stakeholders, and vendors to ensure projects are delivered on time and meet business requirements. Responsibilities include planning, budgeting, risk management, and ensuring that infrastructure aligns with organizational goals. They also help resolve technical challenges and maintain effective communication across teams.

What are some common challenges Technical Infrastructure Program Managers face when coordinating cross-functional teams?

Technical Infrastructure Program Managers often encounter challenges in aligning priorities among engineering, operations, and business stakeholders. Navigating competing deadlines and balancing technical constraints with business objectives requires strong communication and negotiation skills. Additionally, managing risks related to infrastructure scalability or security and ensuring clear documentation across teams are critical for successful project delivery. Maintaining transparency and fostering collaboration help address these challenges effectively.

What are the key skills and qualifications needed to thrive as a Technical Infrastructure Program Manager, and why are they important?

To thrive as a Technical Infrastructure Program Manager, you need strong project management skills, a solid understanding of IT infrastructure concepts, and relevant experience, often supported by a degree in computer science or engineering. Familiarity with project management tools like Jira or Microsoft Project, and certifications such as PMP or ITIL, are commonly required. Exceptional communication, problem-solving, and leadership skills help you coordinate cross-functional teams and manage stakeholders effectively. These skills are crucial for ensuring the successful delivery of complex infrastructure projects on time and within budget.

What is the difference between Technical Infrastructure Program Manager vs Network Engineer?

AspectTechnical Infrastructure Program ManagerNetwork Engineer
CredentialsProject management certifications (PMP), technical knowledgeNetworking certifications (CCNA, CCNP), technical degrees
Work EnvironmentCross-functional teams, project planning, strategic oversightNetwork design, implementation, troubleshooting
Industry UsageIT, telecommunications, large enterprisesIT, telecommunications, data centers

The Technical Infrastructure Program Manager focuses on overseeing infrastructure projects, coordinating teams, and ensuring strategic goals are met. In contrast, a Network Engineer specializes in designing, implementing, and maintaining network systems. While both roles require technical knowledge, the Program Manager emphasizes project management and coordination, whereas the Network Engineer concentrates on technical network operations.

Is being a technical infrastructure program manager a good career?

A technical infrastructure program manager oversees the planning and execution of complex IT infrastructure projects, requiring strong project management and technical skills. The role offers opportunities for advancement in technology companies and typically involves coordinating teams, managing budgets, and ensuring system reliability. It can be a stable and rewarding career for those with a background in IT, engineering, or related fields.

What job categories do people searching Technical Infrastructure Program Manager jobs in Alameda, CA look for?

The top searched job categories for Technical Infrastructure Program Manager jobs in Alameda, CA are:

What cities near Alameda, CA are hiring for Technical Infrastructure Program Manager jobs?

Cities near Alameda, CA with the most Technical Infrastructure Program Manager job openings:

Technical Infrastructure Program Manager jobs near you
Infographic showing various Technical Infrastructure Program Manager job openings in Alameda, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $165,071 per year, or $79.4 per hour.

Technical Program Manager, AI Infrastructure

Meta

Menlo Park, CA

$168K/yr

Full-time

Re-posted 13 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta is seeking a Technical Program Manager (TPM) with experience in server and rack systems design, development, and deployment at scale. This position will work with cross-functional teams in Meta’s Infrastructure organization to drive product definition, proof of concept generation, design, component selection, integration, development, validation, and end-to-end adoption of new hardware products. This position would focus on hardware system end-to-end development needed to support emerging high-powered AI/ML servers, and would require engagement with external vendors as well as a range of internal engineering and specialized teams.You would focus on creating strategies and executing plans to support the development and deployment of current and new hardware platforms. These platforms are the foundation of our AI Training and Inference systems, and are a key enabler to supporting the company’s push into AI. This role would work with external and internal partners to influence and define roadmaps based on technical and business considerations, influence adoption strategies including internal customer and stakeholder alignment, and drive integration with Meta’s capacity planning tools and systems across the program space.This role would work with Infrastructure Hardware development, Infrastructure software, Capacity Planning, Data Center, Network Infrastructure and infrastructure sourcing teams. Meta’s Infrastructure Engineering organization is responsible for the growth, management and 24x7 upkeep of all Meta’s products and services.
Technical Program Manager, AI Infrastructure Responsibilities:
  • Lead technical program management of next-generation hardware platform(s) for Meta Infrastructure in a matrix organization covering a range of areas (Data Center, Network, Hardware Systems, Infrastructure Engineering, Software Engineering, Capacity Management) and across multiple physical locations
  • Own overall program success, spanning the end-to-end development of the hardware product. spanning internal and external development work through successful ingestion into Meta’s infrastructure and support of production workloads at scale
  • Develop and manage programs, including defining scope, requirements, development model, schedules, and deliverables with engineering teams, partners, and stakeholders
  • Scale AI best practices (including responsible AI use), workflows, and artifacts across teams so that the org's capability compounds over time
  • Support the growth of other TPMs and cross-functional team members by providing mentorship and coaching on AI-native practices
  • Use AI-enabled tools to build programs and to prototype, validate, and ship tangible artifacts
  • Influencing broader roadmaps through product interceptions and market fit, competitive analysis, and feasibility studies
  • Provide hands-on program management during analysis, design, development, testing, implementation, and post-implementation phases
  • Partner with engineering counterparts across a range of specialties as well as other teams to define product roadmaps
  • Drive overall communication to leadership, stakeholders, and core working teams in regular cadence
  • Drive internal process improvements across multiple teams and functions
  • Analyze infrastructure needs and produce hardware designs and prototypes to meet those needs
  • Manage and drive strategic vendor engagement and delivery

Minimum Qualifications:
  • B.S. in Computer Science or a related technical discipline, or equivalent experience
  • 10+ years of experience in software engineering, systems engineering, hardware engineering, or technical product/program management experience
  • Experience using AI tools to accelerate workflows
  • Experience delivering tech programs or products from inception to delivery
  • Knowledge of user needs, gathering requirements, and defining the scope
  • Experience operating independently across multiple teams, demonstrating critical thinking and thought leadership
  • Communication experience and experience working with technical management teams to develop systems, solutions, and products
  • Organizational, coordination, and multi-tasking experience
  • Analytical and problem-solving experience with large-scale systems
  • Experience in establishing work relationships across multidisciplinary teams and multiple partners in different time zones

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Hardware systems design experience and new product introduction lifecycle management
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements). Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
  • Understanding of hardware system architecture and related technologies
  • Experience in large-scale AI cluster buildout
  • Experience with data center deployment is a plus
  • Knowledge of compute, storage and/or AI/ML server development
  • Web or internet start-up environment and technical infrastructure management experience
  • Demonstrated ability to develop AI-native strategies, including evaluation and data strategies
  • Experience working with Original Design Manufacturers (ODM)’s and other vendors

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$168,000/year to $234,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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